Methodologies, systems, components and software are provided that perform web analytics to measure visitor to consumer conversion continuously throughout surfing, through conversion and past completion of a purchase on-line. In accordance with at least one embodiment, such methodologies, systems, components and software may be utilized to determine efficacy of a plurality of parameters relating to one or more Transaction Related Offerings (TROs). In accordance with at least one embodiment of the invention, such methodologies, systems, components and software may be utilized to configure one or more Consumer Behavior Decision Models (CBDMS) and/or generate consumer behavior data.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A method for performing systematic analysis of consumer behavior data to predict consumer demand via an on-line environment, the method comprising: monitoring behavior of at least one consumer in the on-line environment by at least one server coupled to at least one communication network included in the on-line environment prior to, during and subsequent to at least one sales transaction performed in the on-line environment to generate consumer behavior data; and analyzing the generated consumer behavior data at at least one server coupled to the at least one communication network included in the on-line environment to determine efficacy of a plurality of parameters relating to one or more sales transaction related offerings, wherein the monitoring consumer behavior is performed past completion of the at least one sales transaction performed in the on-line environment and the analyzing is performed based on consumer behavior data generated based on monitored behavior occurring after the at least one sales transaction, wherein the at least one sales transaction involves determining whether it is acceptable to assume some or all of a third party's obligations in the at least one sales transaction.
A method for predicting consumer demand in an online environment. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations.
2. The method of claim 1 , wherein the monitoring consumer behavior is performed continuously from the at least one consumer's first exposure to the on-line environment.
The method of claim 1, where the monitoring of consumer behavior occurs continuously from the consumer's first interaction with the online environment. This means tracking starts from the moment a user visits the website or interacts with any online content. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations.
3. The method of claim 1 , wherein the consumer behavior data indicates details pertaining to a conversion of the at least one consumer to a customer in the on-line environment.
The method of claim 1, where the consumer behavior data includes details about the consumer's conversion to a customer in the online environment. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations. The data shows the path to becoming a paying customer.
4. The method of claim 3 , wherein the consumer behavior data indicates whether the at least one consumer accepted one or more transaction related offerings in connection with the at least one sales transaction.
The method of claim 3, where the consumer behavior data indicates whether the consumer accepted sales transaction related offerings tied to the sales transaction. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations. The consumer behavior data includes details about the consumer's conversion to a customer in the online environment.
5. The method of claim 1 , wherein the consumer behavior data indicates whether the at least one consumer accepted one or more sales transaction related offerings.
The method of claim 1, where the consumer behavior data indicates whether the consumer accepted sales transaction related offerings. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations. The tracked behavior reveals if a user accepted special deals, promotions, or add-ons.
6. The method of claim 1 , further comprising: identifying consumer behavior data from at least two different sources to identify consumer behavior data that pertains to a same consumer; and correlating the consumer behavior data pertaining to the same consumer.
The method of claim 1, which includes identifying consumer behavior data from at least two different sources to identify data pertaining to the same consumer, and correlating this consumer data. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations. The multiple data sources provide a more complete view of individual consumers.
7. The method of claim 6 , further comprising deleting redundant data in the consumer behavior data pertaining to the same consumer.
The method of claim 6, which includes deleting redundant data in the consumer behavior data pertaining to the same consumer. Consumer behavior data is identified from at least two different sources to identify data pertaining to the same consumer, and this consumer data is correlated. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations.
8. The method of claim 6 , wherein the at least two different sources include seller reported data and a consumer behavior tracking mechanism.
The method of claim 6, where the two data sources include seller-reported data and a consumer behavior tracking mechanism. Consumer behavior data is identified from at least two different sources to identify data pertaining to the same consumer, and this consumer data is correlated. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations. This combination provides a richer understanding of consumer behavior.
9. The method of claim 8 , wherein the consumer behavior tracking mechanism is a shared object.
The method of claim 8, where the consumer behavior tracking mechanism is a shared object. Seller-reported data and a consumer behavior tracking mechanism track data. Consumer behavior data is identified from at least two different sources to identify data pertaining to the same consumer, and this consumer data is correlated. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations.
10. The method of claim 8 , wherein the consumer behavior tracking mechanism is a cookie.
The method of claim 8, where the consumer behavior tracking mechanism is a cookie. Seller-reported data and a consumer behavior tracking mechanism track data. Consumer behavior data is identified from at least two different sources to identify data pertaining to the same consumer, and this consumer data is correlated. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations.
11. The method of claim 8 , wherein the at least two different sources include code provided in the on-line environment provided in connection with the at least one sales transaction related offering, the code being executed to monitor and record consumer behavior.
The method of claim 8, where the data sources include code provided in the online environment connected to the sales transaction offering. This code monitors and records consumer behavior. Seller-reported data and a consumer behavior tracking mechanism track data. Consumer behavior data is identified from at least two different sources to identify data pertaining to the same consumer, and this consumer data is correlated. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations.
12. A method for reorganizing of memory space, by deallocating redundant, obsolete, or unreferenced database and file information, in order to increase the efficiency of memory space usage, the method comprising: analyzing, at at least one server coupled to at least one communication network included in an on-line environment, consumer behavior data generated prior to, during and subsequent to at least one sales transaction performed in the on-line environment; identifying consumer behavior data from at least two different sources to identify consumer behavior data that pertains to a same consumer; and correlating the consumer behavior data pertaining to the same consumer for use in at least one sales transaction related offering, wherein the consumer behavior data is generated based on behavior of the same consumer past completion of the at least one sales transaction performed in the on-line environment and the analyzing is performed based on consumer behavior data generated based on monitored behavior occurring after the at least one sales transaction, wherein the at least one sales transaction involves determining whether it is acceptable to assume some or all of a third party's obligations in the at least one sales transaction.
A method for reorganizing memory space by deallocating redundant, obsolete, or unreferenced database and file information to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction performed online. The system identifies consumer behavior data from two or more sources to find data pertaining to the same consumer and then correlates that data. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
13. The method of claim 12 , further comprising deleting redundant data in the consumer behavior data pertaining to the same consumer.
The method of claim 12, which includes deleting redundant data in the consumer behavior data pertaining to the same consumer. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
14. The method of claim 12 , wherein the at least two different sources include seller reported data and a consumer behavior tracking mechanism.
The method of claim 12, where the two data sources include seller-reported data and a consumer behavior tracking mechanism. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
15. The method of claim 14 , wherein the consumer behavior tracking mechanism is a shared object.
The method of claim 14, where the consumer behavior tracking mechanism is a shared object. Seller-reported data and a consumer behavior tracking mechanism track data. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
16. The method of claim 14 , wherein the consumer behavior tracking mechanism is a cookie.
The method of claim 14, where the consumer behavior tracking mechanism is a cookie. Seller-reported data and a consumer behavior tracking mechanism track data. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
17. The method of claim 14 , wherein the at least two different sources includes code provided in the on-line environment provided in connection with the at least one sales transaction related offering, the code being executed to monitor and record consumer behavior.
The method of claim 14, where the data sources include code provided in the online environment that monitors and records consumer behavior. Seller-reported data and a consumer behavior tracking mechanism track data. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
18. The method of claim 12 , wherein the consumer behavior is generated continuously from the at least one consumer's first exposure to the on-line environment.
The method of claim 12, where consumer behavior is generated continuously from the consumer's first exposure to the online environment. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
19. The method of claim 12 , wherein the consumer behavior is generated continuously past completion of the at least one sales transaction performed in the on-line environment.
The method of claim 12, where the consumer behavior is generated continuously past completion of the sales transaction. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
20. The method of claim 12 , wherein the consumer behavior data indicates whether the consumer accepted one or more sales transaction related offerings.
The method of claim 12, where the consumer behavior data indicates whether the consumer accepted sales transaction related offerings. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
21. The method of claim 12 , wherein the consumer behavior data indicates details pertaining to a conversion of the at least one consumer to a customer in the on-line environment.
The method of claim 12, where the consumer behavior data indicates details pertaining to a conversion of the consumer to a customer. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations.
22. The method of claim 21 , wherein the consumer behavior data indicates whether the consumer accepted one or more sales transaction related offerings in connection with the at least one sales transaction.
The method of claim 21, where the consumer behavior data indicates whether the consumer accepted sales transaction related offerings in connection with the sales transaction. Memory is reorganized by deallocating database/file info to increase efficiency. Consumer behavior data is analyzed before, during, and after a sales transaction. Data from two sources is correlated to find data related to the same consumer. This data informs sales transaction offerings. Consumer behavior data is generated based on post-transaction behavior. Analysis is based on behavior monitored after the sales transaction. The sales transaction involves deciding if it's acceptable to take over third-party obligations. The consumer behavior data indicates details pertaining to a conversion of the consumer to a customer.
23. A method for performing systematic analysis of consumer behavior data to predict consumer demand via an on-line environment, the method comprising: monitoring behavior of at least one consumer in the on-line environment by at least one server coupled to at least one communication network included in the on-line environment prior to, during and subsequent to at least one sales transaction performed in the on-line environment to generate consumer behavior data; and analyzing the generated consumer behavior data at at least one server coupled to the at least one communication network included in the on-line environment to determine efficacy of a plurality of parameters relating to one or more sales transaction related offerings, wherein the monitoring behavior is performed past completion of the at least one sales transaction performed in the on-line environment, and the analyzing is performed based on consumer behavior data generated based on monitored behavior occurring after the at least one sales transaction, wherein the at least one sales transaction involves determining whether it is acceptable to assume some or all of a third party's obligations in the at least one sales transaction, to reduce risk to a consumer.
A method for predicting consumer demand in an online environment. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves determining the acceptability of assuming a third party's obligations to reduce risk to the consumer.
24. A method for performing systematic analysis of consumer behavior data to predict consumer demand via an on-line environment, the method comprising: monitoring behavior of at least one consumer in the on-line environment by at least one server coupled to at least one communication network included in the on-line environment prior to, during and subsequent to at least one sales transaction performed in the on-line environment to generate consumer behavior data; and analyzing the generated consumer behavior data at at least one server coupled to the at least one communication network included in the on-line environment to determine efficacy of a plurality of parameters relating to one or more sales transaction related offerings, wherein the monitoring behavior is performed past completion of the at least one sales transaction performed in the on-line environment, and the analyzing is performed based on consumer behavior data generated based on monitored behavior occurring after the at least one sales transaction, wherein the at least one sales transaction includes a transaction performance guaranty service for some or all of one party's obligations in the at least one sales transaction.
A method for predicting consumer demand in an online environment. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction includes a transaction performance guaranty service for obligations in the transaction.
25. The method of claim 24 , wherein the transaction performance guaranty is one or more of a surety bond, a specialized bank guaranty, a specialized insurance policy, and a safe transaction guaranty.
The method of claim 24, where the transaction performance guaranty is one or more of a surety bond, a specialized bank guaranty, a specialized insurance policy, and a safe transaction guaranty. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction includes a transaction performance guaranty service for obligations in the transaction.
26. A method for performing systematic analysis of consumer behavior data to predict consumer demand via an on-line environment, the method comprising: monitoring behavior of at least one consumer in the on-line environment by at least one server coupled to at least one communication network included in the on-line environment prior to, during and subsequent to at least one sales transaction performed in the on-line environment to generate consumer behavior data; and analyzing the generated consumer behavior data at at least one server coupled to the at least one communication network included in the on-line environment to determine efficacy of a plurality of parameters relating to one or more sales transaction related offerings, wherein the monitoring behavior is performed past completion of the at least one sales transaction performed in the on-line environment, and the analyzing is performed based on consumer behavior data generated based on monitored behavior occurring after the at least one sales transaction, wherein a safe transaction service provider determines whether it is acceptable to assume one or more obligations of a party that provides a product or a service associated with the one or more sales transaction related offerings.
A method for predicting consumer demand in an online environment. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves a safe transaction service provider determining whether it is acceptable to assume obligations of a party that provides a product or service.
27. The method of claim 26 , further comprising providing a transaction related offering graphic.
The method of claim 26, which includes providing a transaction related offering graphic. A server monitors a consumer's behavior before, during, and after an online sales transaction to create consumer behavior data. This data is analyzed on a server to evaluate the effectiveness of various parameters related to sales transaction offerings. Monitoring and analysis extend beyond the completion of the sales transaction, using data generated from post-transaction behavior. The sales transaction involves a safe transaction service provider determining whether it is acceptable to assume obligations of a party that provides a product or service.
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November 3, 2008
August 20, 2013
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